SOTAVerified

Blocking

Entity resolution (also known as entity matching, record linkage, or duplicate detection) is the task of finding records that refer to the same real-world entity across different data sources (e.g., data files, books, websites, and databases). (Source: Wikipedia)

Blocking is a crucial step in any entity resolution pipeline because a pair-wise comparison of all records across two data sources is infeasible. Blocking applies a computationally cheap method to generate a smaller set of candidate record pairs reducing the workload of the matcher. During matching a more expensive pair-wise matcher generates a final set of matching record pairs.

Survey on blocking:

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 524 papers

TitleStatusHype
Should Graph Convolution Trust Neighbors? A Simple Causal Inference MethodCode1
Learning a Single Model with a Wide Range of Quality Factors for JPEG Image Artifacts RemovalCode1
AMP-Net: Denoising based Deep Unfolding for Compressive Image SensingCode1
AutoBlock: A Hands-off Blocking Framework for Entity MatchingCode1
Neural Text Generation with Unlikelihood TrainingCode1
An introduction to Causal Modelling—0
Pushing the Limits of Extreme Weather: Constructing Extreme Heatwave Storylines with Differentiable Climate ModelsCode0
Matching Markets Meet LLMs: Algorithmic Reasoning with Ranked Preferences—0
Challenges in Automated Processing of Speech from Child Wearables: The Case of Voice Type Classifier—0
The Coupling Effect of Sensing Targets on the Environment for 3GPP ISAC Channels: Observation, Modeling, and Validation—0
Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis—0
Sensitivity of DC Network Representation for GIC Analysis—0
Derailing Non-Answers via Logit Suppression at Output Subspace Boundaries in RLHF-Aligned Language Models—0
Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework—0
Generative RLHF-V: Learning Principles from Multi-modal Human Preference—0
AI-empowered Channel Estimation for Block-based Active IRS-enhanced Hybrid-field IoT Network—0
ELIS: Efficient LLM Iterative Scheduling System with Response Length Predictor—0
Non-Blocking Robustness Analysis in Discrete Event Systems—0
Using mathematical models of heart cells to assess the safety of new pharmaceutical drugs—0
Leveraging Language Models for Automated Patient Record Linkage—0
LithOS: An Operating System for Efficient Machine Learning on GPUs—0
Beamforming Design and Association Scheme for Multi-RIS Multi-User mmWave Systems Through Graph Neural Networks—0
Improvable Students in School Choice—0
Ctrl-Z: Controlling AI Agents via Resampling—0
Statistical Linear Regression Approach to Kalman Filtering and Smoothing under Cyber-Attacks—0
Show:102550
← PrevPage 3 of 21Next →

No leaderboard results yet.